Introduction - If you have any usage issues, please Google them yourself
DNA sequence alignment is the most
commonly application in computational biology. It is
essential pre-requisite of many other operations in
computational biology applications. Optimal alignment
for a large scale size DNA sequence dataset is a known
example of a time and space consuming. The Smith-
Waterman algorithm is a well recognized technique to
produce optimal alignment between DNA sequences. In
this paper, we present a parallel technique for computing
Smith-Waterman algorithm. The implementation is done
under a master-worker based distributed memory
multiprocessors with Single Program Multiple Data
(SPMD) architecture. The MPJ Express, an object
oriented Message Passing Interface software is utilized to
enable instructions and messages to be exchanged
between processors.